Theses and Dissertations
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- All Subjects: Movement
- Creators: Turaga, Pavan
- Creators: Norton, Kay
Description
This thesis aims to explore the language of different bodies in the field of dance by analyzing
the habitual patterns of dancers from different backgrounds and vernaculars. Contextually,
the term habitual patterns is defined as the postures or poses that tend to re-appear,
often unintentionally, as the dancer performs improvisational dance. The focus lies in exposing
the movement vocabulary of a dancer to reveal his/her unique fingerprint.
The proposed approach for uncovering these movement patterns is to use a clustering
technique; mainly k-means. In addition to a static method of analysis, this paper uses
an online method of clustering using a streaming variant of k-means that integrates into
the flow of components that can be used in a real-time interactive dance performance. The
computational system is trained by the dancer to discover identifying patterns and therefore
it enables a feedback loop resulting in a rich exchange between dancer and machine. This
can help break a dancer’s tendency to create similar postures, explore larger kinespheric
space and invent movement beyond their current capabilities.
This paper describes a project that distinguishes itself in that it uses a custom database
that is curated for the purpose of highlighting the similarities and differences between various
movement forms. It puts particular emphasis on the process of choosing source movement
qualitatively, before the technological capture process begins.
the habitual patterns of dancers from different backgrounds and vernaculars. Contextually,
the term habitual patterns is defined as the postures or poses that tend to re-appear,
often unintentionally, as the dancer performs improvisational dance. The focus lies in exposing
the movement vocabulary of a dancer to reveal his/her unique fingerprint.
The proposed approach for uncovering these movement patterns is to use a clustering
technique; mainly k-means. In addition to a static method of analysis, this paper uses
an online method of clustering using a streaming variant of k-means that integrates into
the flow of components that can be used in a real-time interactive dance performance. The
computational system is trained by the dancer to discover identifying patterns and therefore
it enables a feedback loop resulting in a rich exchange between dancer and machine. This
can help break a dancer’s tendency to create similar postures, explore larger kinespheric
space and invent movement beyond their current capabilities.
This paper describes a project that distinguishes itself in that it uses a custom database
that is curated for the purpose of highlighting the similarities and differences between various
movement forms. It puts particular emphasis on the process of choosing source movement
qualitatively, before the technological capture process begins.
ContributorsIyengar, Varsha (Author) / Xin Wei, Sha (Thesis advisor) / Turaga, Pavan (Committee member) / Coleman, Grisha (Committee member) / Arizona State University (Publisher)
Created2016
Description
The increased risk of falling and the worse ability to perform other daily physical activities in the elderly cause concern about monitoring and correcting basic everyday movement. In this thesis, a Kinect-based system was designed to assess one of the most important factors in balance control of human body when doing Sit-to-Stand (STS) movement: the postural symmetry in mediolateral direction. A symmetry score, calculated by the data obtained from a Kinect RGB-D camera, was proposed to reflect the mediolateral postural symmetry degree and was used to drive a real-time audio feedback designed in MAX/MSP to help users adjust themselves to perform their movement in a more symmetrical way during STS. The symmetry score was verified by calculating the Spearman correlation coefficient with the data obtained from Inertial Measurement Unit (IMU) sensor and got an average value at 0.732. Five healthy adults, four males and one female, with normal balance abilities and with no musculoskeletal disorders, were selected to participate in the experiment and the results showed that the low-cost Kinect-based system has the potential to train users to perform a more symmetrical movement in mediolateral direction during STS movement.
ContributorsZhou, Henghao (Author) / Turaga, Pavan (Thesis advisor) / Ingalls, Todd (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Created2016
Description
Previous literature on synchronization to music using finger tapping tasks in a laboratory or otherwise controlled setting has led to some invaluable, albeit dated, theories about time and synchronization. In an effort to modernize some of the approaches utilized in research on music synchronization, this study applies established theories of music entrainment to a fieldwork study. Specifically, this study focuses on the extent to which participants of Capoeira, a Brazilian martial art disguised as a dance, synchronize to external timekeepers by analyzing icti in several types of movements and comparing them to musical rhythmic beats.
Sports psychology studies have shown that the presence of music can have involuntary effects on exercise. For example, walkers and runners will spontaneously synchronize gait to auditory signals. However, runners do not normally focus on choreology, acrobatics, and environmental stimuli while exercising. This study contributes to this field of research by adding observations and analyzing degrees of synchronization in a martial art, which may be more cognitively demanding than running.
In Capoeira, participants are still expected to attend to music. The degree of synchronization that occurs in a Capoeira class can then be compared with synchronization in martial arts that have music solely as a background component. These future studies would be analyzing music entrainment in real-life environments with physical activities that are more cognitively complex than running. Moreover, these future studies can help to confirm or challenge current theories of attention and music entrainment and synchronization.
Sports psychology studies have shown that the presence of music can have involuntary effects on exercise. For example, walkers and runners will spontaneously synchronize gait to auditory signals. However, runners do not normally focus on choreology, acrobatics, and environmental stimuli while exercising. This study contributes to this field of research by adding observations and analyzing degrees of synchronization in a martial art, which may be more cognitively demanding than running.
In Capoeira, participants are still expected to attend to music. The degree of synchronization that occurs in a Capoeira class can then be compared with synchronization in martial arts that have music solely as a background component. These future studies would be analyzing music entrainment in real-life environments with physical activities that are more cognitively complex than running. Moreover, these future studies can help to confirm or challenge current theories of attention and music entrainment and synchronization.
ContributorsRossi, Alex (Author) / Norton, Kay (Thesis advisor) / Knowles, Kristina (Thesis advisor) / Fossum, David (Committee member) / Arizona State University (Publisher)
Created2020